Harmonic state estimation method and device based on pseudo measurement, equipment and medium

Abstract

The embodiment of the invention discloses a harmonic state estimation method and device based on pseudo measurement, equipment and a medium, and the method comprises the steps: obtaining the power quality monitoring data and pseudo measurement harmonic current data of a to-be-monitored bus in a target power system; wherein the electric energy quality monitoring data is data measured asynchronously; calculating a target phase difference between different measurement points in the to-be-monitored bus according to the power quality monitoring data and the pseudo-measurement harmonic current data; and according to the target phase difference and a harmonic state estimation model of the target power system, calculating a harmonic state quantity between different measurement points in the to-be-monitored bus. According to the technical scheme of the embodiment of the invention, the accuracy of harmonic state estimation in the power system can be improved.

Description

Technical Field

[0001] Embodiments of the present invention relate to the technical field of power systems, and in particular to a harmonic state estimation method, device, equipment, medium and program based on pseudo-measurement. Background Art

[0002] With the rapid development of power electronic equipment, harmonic pollution in power systems is becoming increasingly serious. Harmonic pollution has many impacts on power systems, including increasing equipment losses, affecting equipment performance, and interfering with communication systems. Therefore, the control and management of harmonics is an important task in the operation of power systems.

[0003] At present, the existing harmonic state estimation methods mainly rely on synchronous measurement data. However, when some monitoring points are not observable, it will affect the observability of the overall harmonic state of the power system.

[0004] In the process of realizing the present invention, the inventors found that the prior art has the following defects: in actual projects, the power quality monitoring data that can be obtained usually do not have synchronization characteristics, and there are unknown measurement time differences between different monitoring points, which makes it difficult to carry out harmonic state estimation. Summary of the invention

[0005] The embodiments of the present invention provide a harmonic state estimation method, device, equipment, medium and program based on pseudo-measurement, which can improve the accuracy of harmonic state estimation in a power system.

[0006] According to one aspect of the present invention, there is provided a harmonic state estimation method based on pseudo measurement, comprising:

[0007] Acquire power quality monitoring data and pseudo-measured harmonic current data of a bus to be monitored in a target power system; wherein the power quality monitoring data is data measured asynchronously;

[0008] Calculating the target phase difference between different measurement points in the bus to be monitored according to the power quality monitoring data and the pseudo-measured harmonic current data;

[0009] The harmonic state quantities between different measuring points in the bus to be monitored are calculated according to the target phase difference and the harmonic state estimation model of the target power system.

[0010] According to another aspect of the present invention, there is provided a harmonic state estimation device based on pseudo measurement, comprising:

[0011] A harmonic state estimation associated data acquisition module is used to acquire power quality monitoring data and pseudo-measured harmonic current data of a bus to be monitored in a target power system; wherein the power quality monitoring data is data measured asynchronously;

[0012] A target phase difference acquisition module, used for calculating the target phase difference between different measurement points in the bus to be monitored according to the power quality monitoring data and the pseudo-measured harmonic current data;

[0013] A harmonic state quantity acquisition module is used to calculate the harmonic state quantities between different measurement points in the bus to be monitored according to the target phase difference and the harmonic state estimation model of the target power system.

[0014] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0015] at least one processor; and

[0016] a memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the harmonic state estimation method based on pseudo measurement described in any embodiment of the present invention.

[0018] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the harmonic state estimation method based on pseudo-measurement described in any embodiment of the present invention when executed.

[0019] According to another aspect of the present invention, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the harmonic state estimation method based on pseudo measurement according to any embodiment of the present invention is implemented.

[0020] The embodiment of the present invention obtains power quality monitoring data and pseudo-measured harmonic current data of a bus to be monitored in a target power system under an asynchronous measurement state, and further calculates a target phase difference between different measurement points in the bus to be monitored based on the power quality monitoring data and the pseudo-measured harmonic current data, so that the harmonic state quantity between different measurement points in the bus to be monitored can be calculated based on the target phase difference and a harmonic state estimation model of the target power system, thereby solving the problem of low accuracy of the harmonic state estimation method in the existing power system and improving the accuracy of harmonic state estimation in the power system.

[0021] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 is a flow chart of a harmonic state estimation method based on pseudo-measurement provided in Embodiment 1 of the present invention;

[0024] Figure 2 is a flow chart of a harmonic state estimation method based on pseudo-measurement provided in Embodiment 2 of the present invention;

[0025] Figure 3 is a schematic diagram of a harmonic state estimation method based on pseudo-measurement provided in Embodiment 2 of the present invention;

[0026] Figure 4 is a schematic diagram of a harmonic state estimation device based on pseudo-measurement provided in Embodiment 3 of the present invention;

[0027] Figure 5 A schematic diagram of the structure of an electronic device provided in Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0029] It should be noted that the terms "first", "second" and "target" in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] Embodiment 1

[0031] Figure 1 This is a flowchart of a harmonic state estimation method based on pseudo-measurement provided in the first embodiment of the present invention. This embodiment is applicable to the case where the busbar harmonic state quantity is determined based on the asynchronous measurement data of the measurement point in the power system and the pseudo-measurement harmonic current data. The method can be executed by a harmonic state estimation device, which can be implemented by software and / or hardware, and can generally be integrated in an electronic device. The electronic device can be a terminal device or a server device. As long as the harmonic state estimation method based on pseudo-measurement can be executed, the embodiment of the present invention does not limit the specific device type of the electronic device. Accordingly, Figure 1 As shown, the method includes the following operations:

[0032] S110, obtaining power quality monitoring data and pseudo-measured harmonic current data of a bus to be monitored in a target power system; wherein the power quality monitoring data is data measured asynchronously.

[0033] Among them, the target power system may be a power system that needs to perform harmonic state estimation. The bus to be monitored may be a bus for which the harmonic state is to be determined in the target power system. The power quality monitoring data may be data related to the harmonic state estimation of the target power system. Exemplarily, the power quality monitoring data may include but is not limited to original harmonic voltages, original harmonic currents, and network parameters, etc. The embodiment of the present invention does not limit the specific data types included in the power quality monitoring data. It should be noted that the power quality monitoring data is obtained through asynchronous measurement. Pseudo-measured harmonic current data may be in the target power system. Due to the limitations or deficiencies of the actual measurement equipment, the true value of certain current data cannot be directly obtained, so the obtained harmonic current data is estimated by modeling based on historical measurement data.

[0034] In an embodiment of the present invention, when it is necessary to estimate the harmonic state quantity of a bus in a power system, the power system can be determined as a target power system, and the bus can be determined as a bus to be monitored. After determining the bus to be monitored in the target power system, a series of power quality monitoring data such as the original harmonic voltage, original harmonic current and network parameters of the bus to be monitored in the target power system under an asynchronous measurement state and pseudo-measured harmonic current data can be first obtained to serve as a reference basic data source for the subsequent harmonic state estimation process.

[0035] S120. Calculate a target phase difference between different measurement points in the bus to be monitored according to the power quality monitoring data and the pseudo-measured harmonic current data.

[0036] Among them, the target phase difference can be the asynchronous measurement phase difference between different measuring points of the bus to be monitored. The different measuring points can be the positions in the bus to be monitored where the power quality monitoring data can be directly measured. Exemplarily, the different measuring points can include but are not limited to two measuring points such as the first measuring point and the second measuring point on the bus to be monitored. It should be noted that the different measuring points of the bus to be monitored can be any different bus to be monitored in the target power system or different measuring points on the same bus to be monitored, as long as they are the bus positions in the target power system where the harmonic state is to be determined. The embodiment of the present invention does not limit the specific types of the different measuring points of the bus to be monitored.

[0037] In an embodiment of the present invention, after acquiring the power quality monitoring data and pseudo-measurement harmonic current data of the bus to be monitored in the target power system under the asynchronous measurement state, the target phase difference between different measurement points in the bus to be monitored can be calculated based on the power quality monitoring data and the pseudo-measurement harmonic current data, so that phase synchronization operations can be performed between different measurement points in the bus to be monitored based on the target phase difference.

[0038] S130. Calculate the harmonic state quantities between different measurement points in the bus to be monitored according to the target phase difference and the harmonic state estimation model of the target power system.

[0039] The harmonic state estimation model may be a mathematical model for analyzing and evaluating the harmonic state between different measurement points in the bus to be monitored in the target power system. The harmonic state quantity may be a set of parameter data that describes and quantifies the harmonic state of the bus to be monitored in the target power system. Exemplarily, the harmonic state quantity may include but is not limited to harmonic voltage, harmonic current, and harmonic power, etc. The embodiment of the present invention does not limit the specific data type contained in the harmonic state quantity.

[0040] Specifically, after obtaining the power quality monitoring data and pseudo-measured harmonic current data of the bus to be monitored in the target power system, the target phase difference between different measuring points in the bus to be monitored can be obtained by analyzing and processing the power quality monitoring data and the pseudo-measured harmonic current data. The target phase difference can be further input into the harmonic state estimation model of the target power system, so that the harmonic state quantities between different measuring points in the bus to be monitored can be calculated.

[0041] In an embodiment of the present invention, the target phase difference between different measurement points is solved by the power quality monitoring data and pseudo-measurement harmonic current data in the asynchronous measurement state of the bus to be monitored. After determining the target phase difference between different measurement points, further, the harmonic state quantity between different measurement points in the bus to be monitored can be calculated based on the target phase difference and the harmonic state estimation model of the target power system. Since the above technical scheme uses the phase difference calculated between the measurement points to solve the harmonic state quantity between the measurement points, there is no need to synchronously measure the power quality monitoring data between the measurement points, which reduces the difficulty of collecting the power quality monitoring data and can ensure the accuracy of the harmonic state estimation in the power system.

[0042] The harmonic state quantity estimated by the harmonic state estimation method based on pseudo-measurement for the bus to be monitored in the target power system can be used as reference data to determine the current harmonic pollution situation in the target power system, so as to further effectively control the harmonics in the target power system according to the analysis results of the harmonic state quantity, reduce the harmonic pollution in the target power system, and further improve the power quality in the target power system.

[0043] The embodiment of the present invention obtains power quality monitoring data and pseudo-measured harmonic current data of a bus to be monitored in a target power system under an asynchronous measurement state, and further calculates a target phase difference between different measurement points in the bus to be monitored based on the power quality monitoring data and the pseudo-measured harmonic current data, so that the harmonic state quantity between different measurement points in the bus to be monitored can be calculated based on the target phase difference and a harmonic state estimation model of the target power system, thereby solving the problem of low accuracy of the harmonic state estimation method in the existing power system and improving the accuracy of harmonic state estimation in the power system.

[0044] Embodiment 2

[0045] Figure 2 is a flowchart of a harmonic state estimation method based on pseudo measurement provided by the second embodiment of the present invention. This embodiment is specific based on the above embodiment. In this embodiment, a plurality of specific optional implementation methods are provided for obtaining power quality monitoring data and pseudo-measurement harmonic current data of the bus to be monitored, determining the target phase difference between different measurement points in the bus to be monitored, and determining the harmonic state quantity between different measurement points in the bus to be monitored. Accordingly, Figure 2 As shown, the method of this embodiment may include:

[0046] S210: Obtain a first original harmonic voltage, a first original harmonic current, and a first network parameter of the first measurement point at a first moment.

[0047] Among them, the first measurement point can be a direct measurement point of the power quality monitoring data of the bus to be monitored in the target power system. The so-called direct measurement point can be understood as a location in the target power system where the power quality monitoring data can be directly measured. The first moment can be the moment when the power quality monitoring data of the first measurement point of the bus to be monitored is measured. The first original harmonic voltage can be the harmonic voltage of the first measurement point of the bus to be monitored. The first original harmonic current can be the harmonic current of the first measurement point of the bus to be monitored. The first network parameter can be parameter data describing the topological structure and electrical characteristics of the first measurement point of the bus to be monitored. Exemplarily, the first network parameter can include but is not limited to the resistance, reactance, capacitance and network topology of the first measurement point of the bus to be monitored, and the embodiment of the present invention does not limit the specific data type included in the first network parameter. It should be noted that the first network parameter is parameter data that can be directly determined from the first measurement point of the bus to be monitored in the target power system.

[0048] In an embodiment of the present invention, to measure the power quality monitoring data of a bus to be monitored in a target power system, it is first necessary to obtain the first original harmonic voltage, the first original harmonic current and the first network parameter of the first measurement point of the bus to be monitored at the first moment.

[0049] S220: Obtain a second original harmonic voltage, a second original harmonic current, and a second network parameter of the second measurement point at a second moment.

[0050] Among them, the second measurement point can be a direct measurement point of the power quality monitoring data of the bus to be monitored in the target power system. It can be understood that the first measurement point and the second measurement point are different measurement points. The second moment can be the moment when the power quality monitoring data of the second measurement point of the bus to be monitored is measured. It should be noted that the first moment and the second moment can be the same or different. The second original harmonic voltage can be the harmonic voltage of the second measurement point of the bus to be monitored. The second original harmonic current can be the harmonic current of the second measurement point of the bus to be monitored. The second network parameter can be parameter data describing the topological structure and electrical characteristics of the second measurement point of the bus to be monitored. Exemplarily, the second network parameter can include but is not limited to the resistance, reactance, capacitance and network topology of the second measurement point of the bus to be monitored, and the embodiment of the present invention does not limit the specific data type included in the first network parameter. It should be noted that the second network parameter is a determined parameter data obtained from the bus to be monitored in the target power system.

[0051] Specifically, to measure the power quality monitoring data of the bus to be monitored in the target power system, it is also necessary to obtain the second original harmonic voltage, the second original harmonic current and the second network parameter of the second measurement point at the location to be monitored at the second moment. Furthermore, the first original harmonic voltage, the first original harmonic current, the first network parameter, the second original harmonic voltage, the second original harmonic current and the second network parameter can be used as power quality monitoring data.

[0052] S230. Determine, according to the power quality monitoring data, the harmonic voltage of the first redundant virtual measurement bus at the first measurement point and the harmonic voltage of the first virtual measurement bus at the second measurement point.

[0053] Among them, the harmonic voltage of the first redundant virtual measurement bus can be the harmonic voltage corresponding to the redundant virtual measurement bus, which can be determined according to the first original harmonic voltage, the first original harmonic current and the first network parameter. The virtual measurement bus can be understood as the harmonic state quantity in the target power system cannot be directly measured, but the location of its harmonic state quantity can be determined based on the directly measured harmonic voltage, harmonic current and network parameter data. The redundant virtual measurement bus can be understood as the location of its harmonic state quantity that requires multiple virtual measurements to be performed. The harmonic voltage of the first virtual measurement bus can be the harmonic voltage corresponding to the virtual measurement bus, which can be determined according to the second original harmonic voltage, the second original harmonic current and the second network parameter.

[0054] Specifically, after obtaining the power quality monitoring data of the bus to be monitored in the target power system, the harmonic voltage of the first redundant virtual measurement bus at a measuring point of the bus to be monitored can be determined according to the first original harmonic voltage, the first original harmonic current and the first network parameter; similarly, the harmonic voltage of the first virtual measurement bus at the second measuring point of the bus to be monitored can also be determined according to the second original harmonic voltage, the second original harmonic current and the second network parameter.

[0055] Figure 3 is a schematic diagram of a harmonic state estimation method based on pseudo measurement provided by the second embodiment of the present invention. In a specific example, Figure 3 As shown, assuming that the busbars 1 and 2 to be monitored are directly measured busbars, the first original harmonic voltage of busbar 1 is directly measured. The first original harmonic current The first network parameter can be directly obtained by measuring. The first original harmonic current The harmonic voltage of the first redundant virtual measurement bus 3 can be obtained by combining the first network parameter Based on the same principle, the second original harmonic voltage of bus 2 is directly measured Second original harmonic current The second network parameter can be directly obtained by measuring the second original harmonic voltage of bus 2. Second original harmonic current The harmonic voltage of the first virtual measurement bus 4 can be obtained by using the second network parameter: Furthermore, according to the circuit calculation, we can get and The expression is:

[0056]

[0057] in, is the harmonic voltage of the first virtual measurement bus 4, is the harmonic voltage of the first redundant virtual measurement bus 3, is the first original harmonic voltage, is the second original harmonic voltage, is the first original harmonic current, is the second original harmonic current, Z 13 To directly measure the impedance between bus 1 and redundant virtual measurement bus 3, Z 24 To directly measure the impedance between the bus 2 and the virtual measurement bus 4.

[0058] In the above formula, The phase angle is The phase angle of is the relative phase angle of the reference. The phase angle is The phase angle is taken as the reference relative phase angle, and the phase angle difference between directly measuring bus 1 and directly measuring bus 2 is taken as the target phase difference.

[0059] S240. Calculate pseudo-measured harmonic current data corresponding to the harmonic voltage of the first redundant virtual measurement bus or pseudo-measured harmonic current data corresponding to the harmonic voltage of the first virtual measurement bus.

[0060] In an embodiment of the present invention, pseudo-measured harmonic current data is introduced to perform phase compensation between asynchronous monitoring points in the target power system. Pseudo-measured harmonic current data corresponding to the harmonic voltage of the first redundant virtual measurement bus can be modeled and calculated based on historical data, so that the phase difference between the redundant virtual measurement bus and the virtual measurement bus can be synchronized based on the pseudo-measured harmonic current data corresponding to the harmonic voltage of the first redundant virtual measurement bus.

[0061] Optionally, modeling can be performed based on historical data to calculate pseudo-measured harmonic current data corresponding to the harmonic voltage of the first virtual measurement bus, thereby synchronizing the phase difference between the redundant virtual measurement bus and the virtual measurement bus based on the pseudo-measured harmonic current data corresponding to the harmonic voltage of the first virtual measurement bus.

[0062] S250: Determine a virtual measured harmonic current according to the pseudo measured harmonic current data and the original harmonic current.

[0063] The virtual measured harmonic current may be a harmonic current between a redundant virtual measurement bus and a virtual measurement bus.

[0064] Specifically, after obtaining the pseudo-measured harmonic current data and the original harmonic current, the virtual measured harmonic current between the redundant virtual measurement bus and the virtual measurement bus can be determined based on Kirchhoff's current law according to the pseudo-measured harmonic current data corresponding to the harmonic voltage of the first redundant virtual measurement bus and the first original harmonic current. Optionally, the virtual measured harmonic current between the redundant virtual measurement bus and the virtual measurement bus can also be determined according to the pseudo-measured harmonic current data corresponding to the harmonic voltage of the first virtual measurement bus and the second original harmonic current.

[0065] Continuing with the above example, Figure 3 As shown, based on Kirchhoff's law, the virtual measurement harmonic current between the redundant virtual measurement bus and the virtual measurement bus can be obtained.

[0066]

[0067] in, It is pseudo-measured harmonic current data.

[0068] S260. Determine a harmonic voltage of a second redundant virtual measurement bus corresponding to the first measurement point according to the power quality monitoring data and the virtual measurement harmonic current.

[0069] Specifically, after determining the virtual measured harmonic current based on the pseudo-measured harmonic current data and the original harmonic current, the harmonic voltage of the second redundant virtual measurement bus corresponding to the first measurement point can be determined based on the harmonic voltage of the first virtual measurement bus, the virtual measured harmonic current, and the impedance data between the redundant virtual measurement bus and the virtual measurement bus, thereby establishing a complex equation for the harmonic voltage between the redundant virtual measurement bus and the virtual measurement bus based on the principle of pseudo-measurement technology.

[0070] Continuing with the above example, Figure 3 As shown, based on the virtual measurement of harmonic current The harmonic voltage of the second redundant virtual measurement bus corresponding to the first measurement point can be obtained. At this time, the phase angle of the harmonic voltage of the second redundant virtual measurement bus of the redundant virtual measurement bus 3 is a relative phase angle based on the second original harmonic voltage of the directly measured bus 2:

[0071]

[0072] Among them, Z 43 is the impedance between the redundant virtual measurement bus 3 and the virtual measurement bus 4.

[0073] S270. Calculate a target phase difference between the first measurement point and the second measurement point according to the harmonic voltage of the first redundant virtual measurement bus at the first measurement point, the harmonic voltage of the second redundant virtual measurement bus, and the harmonic voltage of the first virtual measurement bus at the second measurement point.

[0074] Specifically, after obtaining the harmonic voltage of the second redundant virtual measurement bus corresponding to the first measurement point, the harmonic voltage of the first redundant virtual measurement bus at the first measurement point, the harmonic voltage of the second redundant virtual measurement bus, and the harmonic voltage of the first virtual measurement bus at the second measurement point can be combined to obtain a complex equation. Further, the complex equation can be solved to obtain the target phase difference between the first measurement point and the second measurement point.

[0075] Continuing with the above example, the harmonic voltage of the first redundant virtual measurement bus at the first measurement point, the harmonic voltage of the second redundant virtual measurement bus, and the harmonic voltage of the first virtual measurement bus at the second measurement point are combined to obtain a complex equation: The target phase difference between the direct measurement bus 1 and the direct measurement bus 2 can be obtained by solving the complex equation, thereby converting the asynchronous measurement between the direct measurement bus 1 and the direct measurement bus 2 into a synchronous measurement to meet the synchronous observability of the target power system.

[0076] S280. Determine a harmonic state estimation model to be solved according to the target phase difference and the harmonic state estimation model.

[0077] The harmonic state estimation model to be solved may be a mathematical model for estimating the harmonic state of a bus to be monitored in a target power system based on limited measurement data, and the mathematical model includes unknown variables that need to be further solved.

[0078] Specifically, after obtaining the power quality monitoring data and pseudo-measured harmonic current data of the bus to be monitored in the target power system, the target phase difference between the first measurement point and the second measurement point in the bus to be monitored can be obtained by analyzing and processing the power quality monitoring data and the pseudo-measured harmonic current data. The target phase difference can be further input into the harmonic state estimation model of the target power system, so that the harmonic state estimation model to be solved including unknown variables can be determined.

[0079] In an embodiment of the present invention, the harmonic state estimation model may be:

[0080]

[0081] Where s is the measured bus sequence; u is the number of measured buses; sa is the number of the a-th measured bus in the measured bus sequence s, sb is the number of the b-th measured bus in the measured bus sequence s; o is the unmeasured bus sequence; n is the total number of buses in the target power system; oc is the number of the c-th unmeasured bus in the unmeasured bus sequence o; β sa-sb is the voltage phase difference between the measured bus sa and the measured bus sb; β sa-oc is the voltage phase difference between the measured bus sa and the unmeasured bus oc; P sae is the estimated value of the measured harmonic active power of bus sa, Q sae is the estimated value of the measured harmonic reactive power of bus sa, is the average value of the measured harmonic active power of bus sa, is the average value of the measured harmonic reactive power of bus sa, is the average value of the first original harmonic voltage amplitude of the measured bus sa, is the average value of the second original harmonic voltage amplitude of the measured bus sb; θ sa is the phase angle of the first original harmonic voltage of the measured bus sa, θ sb G is the phase angle of the second original harmonic voltage of the measured bus sb; sa-sb is the real part of the admittance matrix between the measured busbar sa and the measured busbar sb, B sa-sb is the imaginary part of the admittance matrix between the measured busbar sa and the measured busbar sb, G sa-oc is the real part of the admittance matrix between the measured bus sa and the unmeasured bus oc, B sa-oc is the imaginary part of the admittance matrix between the measured bus sa and the unmeasured bus oc; V oc is the harmonic voltage of the unmeasured bus oc; α sa is the target phase difference of the measured bus sa, α sb is the target phase difference of the measured bus sb; ΔP sa is the harmonic active power balance of the measured bus sa, ΔQ sa is the harmonic reactive power balance of the measured bus sa.

[0082] S290, solving the harmonic state estimation model to be solved according to the objective function to obtain intermediate parameter solution results.

[0083] The objective function may be a function determined by minimizing the error between the measured value and the estimated value. Exemplarily, the objective function may be determined according to a method such as the least squares method, and the embodiment of the present invention does not limit the specific method for determining the objective function. The intermediate parameter solution result may be an intermediate variable result obtained by solving the harmonic state estimation model to be solved according to the objective function.

[0084] In an embodiment of the present invention, after determining the harmonic state estimation model to be solved, the harmonic state estimation model to be solved can be solved according to the objective function to obtain an intermediate parameter solution result. Further, the harmonic state quantity of the bus to be measured can be determined according to the intermediate parameter solution result.

[0085] In the embodiment of the present invention, the objective function may be:

[0086]

[0087] Among them, ΔP sa is the harmonic active power balance of the measured bus sa, ΔQ sa is the harmonic reactive power balance of the measured bus sa.

[0088] S2100. Calculate the harmonic state quantity between different measuring points in the bus to be monitored according to the intermediate parameter solution result.

[0089] Specifically, after solving the harmonic state estimation model to be solved according to the objective function and obtaining the intermediate parameter solution result, the harmonic state quantity between different measurement points in the bus to be monitored can be further calculated according to the intermediate parameter solution result.

[0090] In a specific example, the harmonic state estimation model to be solved can be solved according to the objective function to obtain ΔP sa and ΔQ sa , we can further calculate the sa and ΔQ sa The P of the bus to be monitored can be determined sae and Q sae , so that the P of the bus to be monitored can be sae and Q sae Determine the harmonic state quantity data such as harmonic voltage and harmonic current of the bus to be monitored.

[0091] The embodiment of the present invention obtains power quality monitoring data such as original harmonic voltage, original harmonic current and network parameters of a first measurement point and a second measurement point of a bus to be monitored in a target power system, as well as pseudo-measured harmonic current data, to determine a target phase difference between the first measurement point and the second measurement point, and further determines a harmonic state estimation model to be solved according to the target phase difference and the harmonic state estimation model of the target power system, thereby solving the harmonic state estimation model to be solved according to the objective function, and obtaining harmonic state quantities between different measurement points in the bus to be monitored in the target power system, thereby solving the problem of low accuracy of the harmonic state estimation method in the existing power system and improving the accuracy of harmonic state estimation in the power system.

[0092] In the technical solution of the present disclosure, the collection, storage, use, processing, transmission, provision and disclosure of user personal information are in compliance with the relevant laws and regulations and do not violate public order and good morals.

[0093] It should be noted that any arrangement and combination of the technical features in the above embodiments also falls within the protection scope of the present invention.

[0094] Embodiment 3

[0095] Figure 4 is a schematic diagram of a harmonic state estimation device based on pseudo measurement provided by Embodiment 3 of the present invention, such as Figure 4 As shown, the device includes: a harmonic state estimation associated data acquisition module 310, a target phase difference acquisition module 320 and a harmonic state quantity acquisition module 330, wherein:

[0096] The harmonic state estimation associated data acquisition module 310 is used to acquire power quality monitoring data and pseudo-measured harmonic current data of a bus to be monitored in a target power system; wherein the power quality monitoring data is data measured asynchronously.

[0097] The target phase difference acquisition module 320 is used to calculate the target phase difference between different measurement points in the bus to be monitored according to the power quality monitoring data and the pseudo-measured harmonic current data.

[0098] The harmonic state quantity acquisition module 330 is used to calculate the harmonic state quantities between different measurement points in the bus to be monitored according to the target phase difference and the harmonic state estimation model of the target power system.

[0099] The embodiment of the present invention obtains power quality monitoring data and pseudo-measured harmonic current data of a bus to be monitored in a target power system under an asynchronous measurement state, and further calculates a target phase difference between different measurement points in the bus to be monitored based on the power quality monitoring data and the pseudo-measured harmonic current data, so that the harmonic state quantity between different measurement points in the bus to be monitored can be calculated based on the target phase difference and a harmonic state estimation model of the target power system, thereby solving the problem of low accuracy of the harmonic state estimation method in the existing power system and improving the accuracy of harmonic state estimation in the power system.

[0100] In an optional embodiment of the present invention, the different measurement points include a first measurement point and a second measurement point.

[0101] In an optional embodiment of the present invention, the harmonic state estimation associated data acquisition module 310 is also used to: obtain the first original harmonic voltage, the first original harmonic current and the first network parameter of the first measurement point at the first moment; obtain the second original harmonic voltage, the second original harmonic current and the second network parameter of the second measurement point at the second moment; use the first original harmonic voltage, the first original harmonic current, the first network parameter, the second original harmonic voltage, the second original harmonic current and the second network parameter as the power quality monitoring data; determine the harmonic voltage of the first redundant virtual measurement bus at the first measurement point and the harmonic voltage of the first virtual measurement bus at the second measurement point according to the power quality monitoring data; calculate the pseudo-measured harmonic current data corresponding to the harmonic voltage of the first redundant virtual measurement bus or the pseudo-measured harmonic current data corresponding to the harmonic voltage of the first virtual measurement bus.

[0102] In an optional embodiment of the present invention, the target phase difference acquisition module 320 is also used to: determine a virtual measured harmonic current based on the pseudo-measured harmonic current data and the original harmonic current; determine the harmonic voltage of the second redundant virtual measurement bus corresponding to the first measurement point based on the power quality monitoring data and the virtual measured harmonic current; calculate the target phase difference between the first measurement point and the second measurement point based on the harmonic voltage of the first redundant virtual measurement bus at the first measurement point, the harmonic voltage of the second redundant virtual measurement bus, and the harmonic voltage of the first virtual measurement bus at the second measurement point.

[0103] In an optional embodiment of the present invention, the harmonic state estimation model is:

[0104]

[0105] Where s is the measured bus sequence; u is the number of measured buses; sa is the number of the a-th measured bus in the measured bus sequence s, sb is the number of the b-th measured bus in the measured bus sequence s; o is the unmeasured bus sequence; n is the total number of buses in the target power system; oc is the number of the c-th unmeasured bus in the unmeasured bus sequence o; β sa-sb is the voltage phase difference between the measured bus sa and the measured bus sb; β sa-oc is the voltage phase difference between the measured bus sa and the unmeasured bus oc; P sae is the estimated value of the measured harmonic active power of bus sa, Q sae is the estimated value of the measured harmonic reactive power of bus sa, is the average value of the measured harmonic active power of bus sa, is the average value of the measured harmonic reactive power of bus sa, is the average value of the first original harmonic voltage amplitude of the measured bus sa, is the average value of the second original harmonic voltage amplitude of the measured bus sb; θ sa is the phase angle of the first original harmonic voltage of the measured bus sa, θ sb G is the phase angle of the second original harmonic voltage of the measured bus sb; sa-sb is the real part of the admittance matrix between the measured busbar sa and the measured busbar sb, B sa-sb is the imaginary part of the admittance matrix between the measured busbar sa and the measured busbar sb, G sa-oc is the real part of the admittance matrix between the measured bus sa and the unmeasured bus oc, B sa-oc is the imaginary part of the admittance matrix between the measured bus sa and the unmeasured bus oc; V oc is the harmonic voltage of the unmeasured bus oc; α sa is the target phase difference of the measured bus sa, α sb is the target phase difference of the measured bus sb; ΔP sa is the harmonic active power balance of the measured bus sa, ΔQ sa is the harmonic reactive power balance of the measured bus sa.

[0106] In an optional embodiment of the present invention, the harmonic state quantity acquisition module 330 is also used to: determine the harmonic state estimation model to be solved according to the target phase difference and the harmonic state estimation model; solve the harmonic state estimation model to be solved according to the objective function to obtain an intermediate parameter solution result; calculate the harmonic state quantities between different measurement points in the bus to be monitored according to the intermediate parameter solution result.

[0107] In an optional embodiment of the present invention, the objective function is:

[0108]

[0109] Among them, ΔP sa is the harmonic active power balance of the measured bus sa, ΔQ sa is the harmonic reactive power balance of the measured bus sa.

[0110] The above-mentioned harmonic state estimation device based on pseudo-measurement can execute the harmonic state estimation method based on pseudo-measurement provided by any embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the harmonic state estimation method based on pseudo-measurement provided by any embodiment of the present invention.

[0111] Since the harmonic state estimation device based on pseudo-measurement introduced above is a device that can execute the harmonic state estimation method based on pseudo-measurement in the embodiment of the present invention, based on the harmonic state estimation method based on pseudo-measurement introduced in the embodiment of the present invention, the technical personnel in this field can understand the specific implementation of the harmonic state estimation device based on pseudo-measurement in this embodiment and its various variations, so how the harmonic state estimation device based on pseudo-measurement implements the harmonic state estimation method based on pseudo-measurement in the embodiment of the present invention is not introduced in detail here. As long as the technical personnel in this field implement the device adopted by the harmonic state estimation method based on pseudo-measurement in the embodiment of the present invention, it belongs to the scope of protection of this application.

[0112] Embodiment 4

[0113] Figure 5 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0114] like Figure 5As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0115] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0116] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the harmonic state estimation method based on pseudo-measurement.

[0117] In some embodiments, the harmonic state estimation method based on pseudo-measurement may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the harmonic state estimation method based on pseudo-measurement described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the harmonic state estimation method based on pseudo-measurement in any other appropriate manner (e.g., by means of firmware).

[0118] Optionally, a harmonic state estimation method based on pseudo-measurement may include: obtaining power quality monitoring data and pseudo-measurement harmonic current data of a bus to be monitored in a target power system; wherein the power quality monitoring data is data of asynchronous measurement; calculating a target phase difference between different measurement points in the bus to be monitored based on the power quality monitoring data and the pseudo-measurement harmonic current data; and calculating harmonic state quantities between different measurement points in the bus to be monitored based on the target phase difference and a harmonic state estimation model of the target power system.

[0119] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0120] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0121] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0122] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0123] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0124] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0125] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0126] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A harmonic state estimation method based on pseudo-measurement, characterized in that: include: Acquire power quality monitoring data and pseudo-measured harmonic current data of a bus to be monitored in a target power system; wherein the power quality monitoring data is data measured asynchronously; Calculating the target phase difference between different measurement points in the bus to be monitored according to the power quality monitoring data and the pseudo-measured harmonic current data; The harmonic state quantities between different measuring points in the bus to be monitored are calculated according to the target phase difference and the harmonic state estimation model of the target power system.

2. The method according to claim 1, characterized in that The different measurement points include a first measurement point and a second measurement point; the step of obtaining the power quality monitoring data and pseudo-measurement harmonic current data of the bus to be monitored in the target power system includes: Acquire a first original harmonic voltage, a first original harmonic current and a first network parameter of the first measurement point at a first moment; Acquire a second original harmonic voltage, a second original harmonic current and a second network parameter of the second measurement point at a second moment; Using the first original harmonic voltage, the first original harmonic current, the first network parameter, the second original harmonic voltage, the second original harmonic current and the second network parameter as the power quality monitoring data; Determine the harmonic voltage of the first redundant virtual measurement bus at the first measurement point and the harmonic voltage of the first virtual measurement bus at the second measurement point according to the power quality monitoring data; Pseudo-measured harmonic current data corresponding to the harmonic voltage of the first redundant virtual measurement bus or pseudo-measured harmonic current data corresponding to the harmonic voltage of the first virtual measurement bus is calculated.

3. The method according to claim 1, characterized in that The different measurement points include a first measurement point and a second measurement point; and the step of calculating the target phase difference between different measurement points in the bus to be monitored according to the power quality monitoring data and the pseudo-measured harmonic current data includes: Determining a virtual measured harmonic current according to the pseudo measured harmonic current data and the original harmonic current; Determine the harmonic voltage of the second redundant virtual measurement bus corresponding to the first measurement point according to the power quality monitoring data and the virtual measurement harmonic current; A target phase difference between the first measurement point and the second measurement point is calculated according to the harmonic voltage of the first redundant virtual measurement bus at the first measurement point, the harmonic voltage of the second redundant virtual measurement bus and the harmonic voltage of the first virtual measurement bus at the second measurement point.

4. The method according to any one of claims 1 to 3, characterized in that: The harmonic state estimation model is: Where s is the measured bus sequence; u is the number of measured buses; sa is the number of the a-th measured bus in the measured bus sequence s, sb is the number of the b-th measured bus in the measured bus sequence s; o is the unmeasured bus sequence; n is the total number of buses in the target power system; oc is the number of the c-th unmeasured bus in the unmeasured bus sequence o; β sa-sb is the voltage phase difference between the measured bus sa and the measured bus sb; β sa-oc is the voltage phase difference between the measured bus sa and the unmeasured bus oc; P sae is the estimated value of the measured harmonic active power of bus sa, Q sae is the estimated value of the measured harmonic reactive power of bus sa, is the average value of the measured harmonic active power of bus sa, is the average value of the measured harmonic reactive power of bus sa, is the average value of the first original harmonic voltage amplitude of the measured bus sa, is the average value of the second original harmonic voltage amplitude of the measured bus sb; θ sa is the phase angle of the first original harmonic voltage of the measured bus sa, θ sb G is the phase angle of the second original harmonic voltage of the measured bus sb; sa-sb is the real part of the admittance matrix between the measured busbar sa and the measured busbar sb, B sa-sb is the imaginary part of the admittance matrix between the measured busbar sa and the measured busbar sb, G sa-oc is the real part of the admittance matrix between the measured bus sa and the unmeasured bus oc, B sa-oc is the imaginary part of the admittance matrix between the measured bus sa and the unmeasured bus oc; V oc is the harmonic voltage of the unmeasured bus oc; α sa is the target phase difference of the measured bus sa, α sb is the target phase difference of the measured bus sb; ΔP sa is the harmonic active power balance of the measured bus sa, ΔQ sa is the harmonic reactive power balance of the measured bus sa.

5. The method according to claim 1, characterized in that The calculating the harmonic state quantity between different measuring points in the bus to be monitored according to the target phase difference and the harmonic state estimation model of the target power system includes: Determining a harmonic state estimation model to be solved according to the target phase difference and the harmonic state estimation model; Solving the harmonic state estimation model to be solved according to the objective function to obtain an intermediate parameter solution result; The harmonic state quantities between different measuring points in the bus to be monitored are calculated according to the intermediate parameter solution results.

6. The method according to claim 5, characterized in that The objective function is: Among them, ΔP sa is the harmonic active power balance of the measured bus sa, ΔQ sa is the harmonic reactive power balance of the measured bus sa.

7. A harmonic state estimation device based on pseudo measurement, characterized in that: include: A harmonic state estimation associated data acquisition module is used to acquire power quality monitoring data and pseudo-measured harmonic current data of a bus to be monitored in a target power system; wherein the power quality monitoring data is data measured asynchronously; A target phase difference acquisition module, used for calculating the target phase difference between different measurement points in the bus to be monitored according to the power quality monitoring data and the pseudo-measured harmonic current data; A harmonic state quantity acquisition module is used to calculate the harmonic state quantities between different measurement points in the bus to be monitored according to the target phase difference and the harmonic state estimation model of the target power system.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the harmonic state estimation method based on pseudo measurement as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the harmonic state estimation method based on pseudo-measurement as described in any one of claims 1-6 when executed.

10. A computer program product comprising a computer program / instructions, wherein: When the computer program / instructions are executed by a processor, the harmonic state estimation method based on pseudo-measurement described in any one of claims 1-6 is implemented.

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